Prabhat Roy

On kinetics dataset: `kinetics/070618/train_avi-480p/knitting/q2sqyxhLiDU_000031_000041.avi`, I get the following crash: ``` python: malloc.c:2401: sysmalloc: Assertion `(old_top == initial_top (av) && old_size == 0) || ((unsigned long) (old_size) >= MINSIZE && prev_inuse...

On kinetics dataset: `kinetics/070618/600/train/visiting_the_zoo/KgVpMUp4KmM_000000_000010.mp4`, I get the following crashes(on different runs): ``` malloc(): memory corruption Aborted (core dumped) ``` and ``` free(): invalid next size (fast) Aborted (core dumped) ```

skl2onnx doesn't implement sklearn_crfsuite yet.

I tried this and didn't see the error: ``` X, y = make_classification(n_features=2853, n_samples=230000, random_state=42, n_classes=3, n_informative=7) X = X.astype(np.float32) X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.5, random_state=42) model...

I have 16 GB RAM, and haven't seen this error. I can try with a higher batch size. By the way, can you share your code which gives the error?

That could well be the reason. @xadupre Do you know if we'll support sparse format in onnxruntime anytime soon?

Let me talk to the team about this and get back. Thanks! Also, is this a high priority item for you?

> Did you eventually solve it? No

HierarchicalSVM, not being a part of scikit-learn package, wasn't there in our plan. Is this important for your use-case? I can discuss it with my team and get back.

You may look at this example, which talks about implementing your own converter: https://github.com/onnx/sklearn-onnx/blob/master/docs/examples/plot_custom_model.py